J Plant Ecol ›› 2022, Vol. 15 ›› Issue (6): 1285-1301 .DOI: 10.1093/jpe/rtac073

• Research Articles • Previous Articles     Next Articles

Leaf litter decomposition characteristics and controlling factors across two contrasting forest types

Yuan-Yuan Zhao, Zhuo-Ting Li, Ting Xu and An-ru Lou*   

  1. State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Life Sciences of Beijing Normal University, Beijing 100875, China

    *Corresponding author. E-mail: louanru@bnu.edu.cn
  • Received:2022-03-17 Accepted:2022-06-16 Online:2022-07-08 Published:2022-12-01

Abstract:

Plant leaf litter decomposition provides a source of energy and nutrients in forest ecosystems. In addition to traditional environmental factors, the degradation process of litter is also affected by plant functional traits and litter quality. However, at the community level, it is still unclear whether the relative importance of plant traits and litter quality on the litter decomposition rate is consistent. A year-long mixed leaf litter decomposition experiment in a similar environment was implemented by using the litterbag method in seven typical forest types in Dongling Mountain, Beijing, North China, including six monodominant communities dominated by Juglans mandshurica, Populus cathayana, Betula dahurica, Betula platyphylla, Pinus tabuliformis and Larix gmelinii var. principis-rupprechtii and one codominant community dominated by Fraxinus rhynchophylla, Quercus mongolica and Tilia mongolica. The results showed that there were considerable differences in the litter decomposition rate (k-rate) among the different forest types. The community weighted mean (CWM) traits of green leaves and litter quality explained 35.60% and 9.05% of the k-rate variations, respectively, and the interpretation rate of their interaction was 23.37%, indicating that the CWM traits and their interaction with litter quality are the main factors affecting the k-rate variations. In the recommended daily allowance, leaf nitrogen content, leaf dry matter content, leaf tannin content and specific leaf area were the main factors affecting the k-rate variations. Therefore, we suggest that future studies should focus on the effects of the CWM traits of green leaves on litter decomposition at the community level.

Key words: Dongling Mountain of Beijing, warm temperate forest ecosystem, controlling factors of leaf litter decomposition, community-weighted mean traits, plant functional traits, litter quality

摘要:
两种不同森林类型叶凋落物分解特征及影响因子研究

叶凋落物分解为森林生态系统提供了重要的能量和养分来源。除传统的环境因素外,叶凋落物的降解过程也受到绿叶功能性状和叶凋落物基质质量的影响。然而,在群落水平上,绿叶功能性状和叶凋落物基质质量对不同森林群落叶凋落物分解的相对重要性仍不清楚。因此,本研究以北京东灵山地区7种典型森林群落类型的混合叶凋落物为研究对象,利用分解袋法通过360天的野外相似环境分解实验对叶凋落物的分解过程进行了研究。这些森林群落包括6种分别以胡桃楸(Juglans mandshurica)、青杨(Populus cathayana)、棘皮桦(Betula dahurica)、白桦(Betula platyphylla)、油松(Pinus tabuliformis) 和华北落叶松(Larix gmelinii var. principis-rupprechtii) 为优势种的单优种群落,以及一种以大叶白蜡(Fraxinus rhynchophylla)、蒙古栎(Quercus mongolica)和蒙椴(Tilia mongolica)为优势种的共优种群落。研究结果表明,不同森林群落之间叶凋落物分解速率存在显著差异。群落聚合的植物功能性状和叶凋落物基质质量分别解释了群落叶凋落物分解速率变异的35.60%和9.05%,两者交互作用解释率为23.37%,表明群落聚合的植物功能性状及其与叶凋落物基质质量的共同作用是影响群落叶凋落物分解速率变异的主要因素。通过冗余分析发现,叶片氮含量、叶干物质含量、叶片单宁含量和比叶面积能显著影响群落叶凋落物分解速率的变异。因此,在对群落水平上叶凋落物分解的研究应该关注群落聚合的绿叶功能性状对分解的影响。

关键词: 北京东灵山, 暖温带森林生态系统, 叶凋落物分解影响因素, 群落加权均值, 绿叶功能性状, 叶凋落物基质质量